Prognosis prediction and immunotherapy optimisation for cryptogenic new-onset refractory status epilepticus.

autoimmune encephalitis clinical neurology epilepsy neuroimmunology

Journal

Journal of neurology, neurosurgery, and psychiatry
ISSN: 1468-330X
Titre abrégé: J Neurol Neurosurg Psychiatry
Pays: England
ID NLM: 2985191R

Informations de publication

Date de publication:
04 Sep 2024
Historique:
received: 20 05 2024
accepted: 03 08 2024
medline: 6 9 2024
pubmed: 6 9 2024
entrez: 5 9 2024
Statut: aheadofprint

Résumé

Cryptogenic new-onset refractory status epilepticus (cNORSE) currently lacks comprehensive knowledge regarding its clinical dynamics, prognostic factors and treatment guidance. Here we present the longitudinal clinical profiles, predictive factors for outcomes and the optimal duration of immunotherapy in patients with cNORSE. This retrospective secondary endpoint analysis investigated patients with cNORSE identified from a prospective autoimmune encephalitis cohort at a national referral centre in Korea. The main outcomes included longitudinal functional scales, seizure frequency and the number of antiseizure medications. Measures encompassed NORSE-related clinical parameters such as the duration of unconsciousness, immunotherapy profiles, cytokine/chemokine analysis, and serial MRI scans. A total of 74 patients with cNORSE were finally analysed (mean age: 38.0±18.2; 36 (48.6%) male). All patients received first-line immunotherapy, and 91.9% (68/74) received second-line immunotherapy. A total of 83.8% (62/74) regained consciousness within a median duration of 30 days (14-56), and 50% (31/62) achieved good outcome (mRS ≤2) at 2 years. Poor 1-year outcomes (mRS ≥3) were predicted by the presence of mesial temporal lobe (mTL) and extra-mTL lesions at 3-month MRI, and prolonged unconsciousness (≥60 days). Those with mTL atrophy exhibited a higher seizure burden post-NORSE. The optimal duration of immunotherapy appeared to be between 18 weeks and 1-year post-NORSE onset. This study elucidates longitudinal clinical dynamics, functional outcomes, prognostic factors and immunotherapy response in patients with cNORSE. These findings might contribute to a more standardised understanding and clinical decision-making for cNORSE.

Sections du résumé

BACKGROUND BACKGROUND
Cryptogenic new-onset refractory status epilepticus (cNORSE) currently lacks comprehensive knowledge regarding its clinical dynamics, prognostic factors and treatment guidance. Here we present the longitudinal clinical profiles, predictive factors for outcomes and the optimal duration of immunotherapy in patients with cNORSE.
METHODS METHODS
This retrospective secondary endpoint analysis investigated patients with cNORSE identified from a prospective autoimmune encephalitis cohort at a national referral centre in Korea. The main outcomes included longitudinal functional scales, seizure frequency and the number of antiseizure medications. Measures encompassed NORSE-related clinical parameters such as the duration of unconsciousness, immunotherapy profiles, cytokine/chemokine analysis, and serial MRI scans.
RESULTS RESULTS
A total of 74 patients with cNORSE were finally analysed (mean age: 38.0±18.2; 36 (48.6%) male). All patients received first-line immunotherapy, and 91.9% (68/74) received second-line immunotherapy. A total of 83.8% (62/74) regained consciousness within a median duration of 30 days (14-56), and 50% (31/62) achieved good outcome (mRS ≤2) at 2 years. Poor 1-year outcomes (mRS ≥3) were predicted by the presence of mesial temporal lobe (mTL) and extra-mTL lesions at 3-month MRI, and prolonged unconsciousness (≥60 days). Those with mTL atrophy exhibited a higher seizure burden post-NORSE. The optimal duration of immunotherapy appeared to be between 18 weeks and 1-year post-NORSE onset.
CONCLUSIONS CONCLUSIONS
This study elucidates longitudinal clinical dynamics, functional outcomes, prognostic factors and immunotherapy response in patients with cNORSE. These findings might contribute to a more standardised understanding and clinical decision-making for cNORSE.

Identifiants

pubmed: 39237150
pii: jnnp-2024-334285
doi: 10.1136/jnnp-2024-334285
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: Dr S-TL reports personal fees from Roche/Genentech (steering committee) and Advanced Neural Technologies (advisory board), and grants from GC Pharma and Celltrion, outside the submitted work. Dr DD reports consultant fees (paid to institution) from UCB, Immunovant, Argenx, Arialys and Astellas Pharmaceuticals. Dr DD has patents pending for LUZP4-IgG, cavin-4-IgG and SKOR2 IgG as markers of neurological autoimmunity, and patents licensed for KLHL11 IgG.

Auteurs

Yoonhyuk Jang (Y)

Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea.
Biomedical Research Institute, Seoul National University Hospital, Jongno-gu, Seoul, South Korea.
The National Strategic Technology Research Institute, Jongno-gu, Seoul, South Korea.

Soo Hyun Ahn (SH)

Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea.

Kyung-Il Park (KI)

Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea.
Department of Neurology, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, South Korea.

Bum-Sup Jang (BS)

Department of Radiation Oncology, Seoul National University Hospital, Jongno-gu, Seoul, South Korea.

Han Sang Lee (HS)

Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea.

Jae-Han Bae (JH)

Department of Neurology, Asan Medical Center, Songpa-gu, Seoul, South Korea.

Yoonkyung Lee (Y)

Department of Neurology, Dong-A University College of Medicine, Busan, South Korea.

Jun-Sang Sunwoo (JS)

Department of Neurology, Kangbuk Samsung Hospital, Jongno-gu, Seoul, South Korea.

Jin-Sun Jun (JS)

Department of Neurology, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Yeongdeungpo-gu, Seoul, South Korea.

Keun Tae Kim (KT)

Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, South Korea.

Su Yee Mon (SY)

Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea.

Ji Hye You (JH)

Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea.

Tae-Joon Kim (TJ)

Department of Neurology, Ajou University School of Medicine, Suwon, South Korea.

Hyunsuk Shin (H)

Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Jongno-gu, Seoul, South Korea.

Dohyun Han (D)

Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Jongno-gu, Seoul, South Korea.
Department of Transdisciplinary Medicine, Seoul National University Hospital, Jongno-gu, South Korea.

Yong Won Cho (YW)

Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, South Korea.

Divyanshu Dubey (D)

Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA.

Kon Chu (K)

Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea.

Sang Kun Lee (SK)

Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea.

Soon-Tae Lee (ST)

Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea staelee@snu.ac.kr.

Classifications MeSH